Zobrazeno 1 - 10
of 469
pro vyhledávání: '"SHETTY, VIVEK"'
Autor:
Trella, Anna L., Zhang, Kelly W., Jajal, Hinal, Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Dental disease is a prevalent chronic condition associated with substantial financial burden, personal suffering, and increased risk of systemic diseases. Despite widespread recommendations for twice-daily tooth brushing, adherence to recommended ora
Externí odkaz:
http://arxiv.org/abs/2409.02069
Autor:
Trella, Anna L., Ghosh, Susobhan, Bonar, Erin E., Coughlin, Lara, Doshi-Velez, Finale, Guo, Yongyi, Hung, Pei-Yao, Nahum-Shani, Inbal, Shetty, Vivek, Walton, Maureen, Yan, Iris, Zhang, Kelly W., Murphy, Susan A.
Online AI decision-making algorithms are increasingly used by digital interventions to dynamically personalize treatment to individuals. These algorithms determine, in real-time, the delivery of treatment based on accruing data. The objective of this
Externí odkaz:
http://arxiv.org/abs/2409.10526
Autor:
Trella, Anna L., Zhang, Kelly W., Carpenter, Stephanie M., Elashoff, David, Greer, Zara M., Nahum-Shani, Inbal, Ruenger, Dennis, Shetty, Vivek, Murphy, Susan A.
Dental disease is still one of the most common chronic diseases in the United States. While dental disease is preventable through healthy oral self-care behaviors (OSCB), this basic behavior is not consistently practiced. We have developed Oralytics,
Externí odkaz:
http://arxiv.org/abs/2406.13127
Publikováno v:
JMIR mHealth and uHealth, Vol 8, Iss 6, p e17347 (2020)
BackgroundDental disease (including dental caries and periodontal disease) is largely preventable and closely linked to inadequate oral health behaviors. Digital health technologies have great potential for unobtrusively monitoring brushing behaviors
Externí odkaz:
https://doaj.org/article/95fcaf596d614c58b195a0a50240ec0a
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Yan, Iris, Doshi-Velez, Finale, Murphy, Susan A.
Online reinforcement learning (RL) algorithms offer great potential for personalizing treatment for participants in clinical trials. However, deploying an online, autonomous algorithm in the high-stakes healthcare setting makes quality control and da
Externí odkaz:
http://arxiv.org/abs/2402.17003
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Dental disease is one of the most common chronic diseases despite being largely preventable. However, professional advice on optimal oral hygiene practices is often forgotten or abandoned by patients. Therefore patients may benefit from timely and pe
Externí odkaz:
http://arxiv.org/abs/2208.07406
Designing Reinforcement Learning Algorithms for Digital Interventions: Pre-implementation Guidelines
Autor:
Trella, Anna L., Zhang, Kelly W., Nahum-Shani, Inbal, Shetty, Vivek, Doshi-Velez, Finale, Murphy, Susan A.
Online reinforcement learning (RL) algorithms are increasingly used to personalize digital interventions in the fields of mobile health and online education. Common challenges in designing and testing an RL algorithm in these settings include ensurin
Externí odkaz:
http://arxiv.org/abs/2206.03944
Autor:
Yamaguchi, Masaki, Shetty, Vivek
Publikováno v:
In Sensors and Actuators Reports December 2024 8
Publikováno v:
In Brain Behavior and Immunity July 2024 119:792-800
Autor:
Tandel, Jignesh, Shetty, Vivek, Wagh, Yash, Shekhar, Sajeev, Wagh, Aniket, Parvathy, J.M., Karade, Vikas, Maurya, Amit
Publikováno v:
In The Knee June 2024 48:197-206